1use crate::aes::Aesthetic;
2use crate::coord::Coord;
3use crate::data::{DataFrame, Value};
4use crate::position::identity::PositionIdentity;
5use crate::position::Position;
6use crate::render::backend::{DrawBackend, LineStyle, Linetype, PointShape, PointStyle, RectStyle};
7use crate::render::RenderError;
8use crate::scale::ScaleSet;
9use crate::stat::boxplot::StatBoxplot;
10use crate::stat::Stat;
11use crate::theme::Theme;
12
13use super::{Geom, GeomParams};
14
15pub struct GeomBoxplot {
17 pub fill: (u8, u8, u8),
18 pub color: (u8, u8, u8),
19 pub width: f64,
20 pub alpha: f64,
21}
22
23impl Default for GeomBoxplot {
24 fn default() -> Self {
25 GeomBoxplot {
26 fill: (255, 255, 255),
27 color: (50, 50, 50),
28 width: 0.75,
29 alpha: 1.0,
30 }
31 }
32}
33
34fn parse_outliers(s: &str) -> (Vec<f64>, bool) {
39 let trimmed = s.trim();
40 let inner = trimmed
41 .strip_prefix('[')
42 .and_then(|t| t.strip_suffix(']'))
43 .or_else(|| trimmed.strip_prefix('(').and_then(|t| t.strip_suffix(')')))
44 .unwrap_or(trimmed);
45 let mut out = Vec::new();
46 let mut bad = false;
47 for part in inner.split(',') {
48 let part = part.trim();
49 if part.is_empty() {
50 continue;
51 }
52 match part.parse::<f64>() {
53 Ok(v) if v.is_finite() => out.push(v),
54 _ => bad = true,
55 }
56 }
57 (out, bad)
58}
59
60impl Geom for GeomBoxplot {
61 fn draw(
62 &self,
63 data: &DataFrame,
64 coord: &dyn Coord,
65 scales: &ScaleSet,
66 _theme: &Theme,
67 backend: &mut dyn DrawBackend,
68 ) -> Result<(), RenderError> {
69 let x_col = data
70 .column("x")
71 .ok_or(RenderError::MissingAesthetic("x".into()))?;
72 let lower_col = data.column("lower");
73 let middle_col = data.column("middle");
74 let upper_col = data.column("upper");
75 let ymin_col = data.column("ymin");
76 let ymax_col = data.column("ymax");
77 let outliers_col = data.column("outliers");
78 let fill_col = data.column("fill");
79
80 let plot_area = backend.plot_area();
81 let x_scale = scales.get(&Aesthetic::X);
82 let y_scale = scales.get(&Aesthetic::Y);
83
84 let x_is_discrete = x_scale.map(|s| s.is_discrete()).unwrap_or(false);
85
86 for i in 0..data.nrows() {
87 let nx = x_scale.map(|s| s.map(&x_col[i])).unwrap_or(0.5);
88
89 let half_width = if x_is_discrete {
90 let n = x_scale.map(|s| s.breaks().len()).unwrap_or(1);
91 self.width / (n.max(1) as f64 * 2.5)
92 } else {
93 0.03
94 };
95
96 let lower = lower_col.and_then(|c| c[i].as_f64()).unwrap_or(0.0);
98 let middle = middle_col.and_then(|c| c[i].as_f64()).unwrap_or(0.0);
99 let upper = upper_col.and_then(|c| c[i].as_f64()).unwrap_or(0.0);
100 let ymin = ymin_col.and_then(|c| c[i].as_f64()).unwrap_or(lower);
101 let ymax = ymax_col.and_then(|c| c[i].as_f64()).unwrap_or(upper);
102
103 let map_y = |v: f64| y_scale.map(|s| s.map(&Value::Float(v))).unwrap_or(0.0);
104
105 let group = super::tip_value(&x_col[i]);
110 let r = |v: f64| (v * 100.0).round() / 100.0;
111 let tip = if group.is_empty() {
112 format!("median {} ({}–{})", r(middle), r(lower), r(upper))
113 } else {
114 format!("{group}: median {} ({}–{})", r(middle), r(lower), r(upper))
115 };
116 let middle_value = Value::Float(middle);
117 super::set_mark(
118 backend,
119 Some(tip),
120 Some(group.clone()).filter(|g| !g.is_empty()),
121 super::series_key(data, i).or(Some(group).filter(|g| !g.is_empty())),
122 super::raw_value(&middle_value),
123 );
124 super::set_mark_formatted(
125 backend,
126 scales,
127 Some(&x_col[i]),
128 &Aesthetic::Y,
129 Some(&middle_value),
130 );
131 super::set_row_extras(backend, data, i);
132
133 let box_fill = fill_col
135 .and_then(|fc| scales.map_color(&Aesthetic::Fill, &fc[i]))
136 .unwrap_or(self.fill);
137 let (box_left, box_top) = coord.transform((nx - half_width, map_y(upper)), &plot_area);
138 let (box_right, box_bottom) =
139 coord.transform((nx + half_width, map_y(lower)), &plot_area);
140 backend.draw_rect(
141 (box_left, box_top),
142 (box_right, box_bottom),
143 &RectStyle {
144 fill: Some(box_fill),
145 stroke: Some(self.color),
146 stroke_width: 1.0,
147 alpha: self.alpha,
148 clip: true,
149 corner_radius: 0.0,
150 },
151 )?;
152
153 let (med_left, med_y) = coord.transform((nx - half_width, map_y(middle)), &plot_area);
155 let (med_right, _) = coord.transform((nx + half_width, map_y(middle)), &plot_area);
156 backend.draw_line(
157 &[(med_left, med_y), (med_right, med_y)],
158 &LineStyle {
159 color: self.color,
160 width: 2.0,
161 alpha: 1.0,
162 linetype: Linetype::Solid,
163 ..Default::default()
164 },
165 )?;
166
167 let (_, whisker_bottom) = coord.transform((nx, map_y(ymin)), &plot_area);
169 let (center_x, _) = coord.transform((nx, map_y(lower)), &plot_area);
170 backend.draw_line(
171 &[(center_x, box_bottom), (center_x, whisker_bottom)],
172 &LineStyle {
173 color: self.color,
174 width: 1.0,
175 alpha: 1.0,
176 linetype: Linetype::Solid,
177 ..Default::default()
178 },
179 )?;
180 let (wl, _) = coord.transform((nx - half_width * 0.5, map_y(ymin)), &plot_area);
182 let (wr, _) = coord.transform((nx + half_width * 0.5, map_y(ymin)), &plot_area);
183 backend.draw_line(
184 &[(wl, whisker_bottom), (wr, whisker_bottom)],
185 &LineStyle {
186 color: self.color,
187 width: 1.0,
188 alpha: 1.0,
189 linetype: Linetype::Solid,
190 ..Default::default()
191 },
192 )?;
193
194 let (_, whisker_top) = coord.transform((nx, map_y(ymax)), &plot_area);
196 backend.draw_line(
197 &[(center_x, box_top), (center_x, whisker_top)],
198 &LineStyle {
199 color: self.color,
200 width: 1.0,
201 alpha: 1.0,
202 linetype: Linetype::Solid,
203 ..Default::default()
204 },
205 )?;
206 let (wl, _) = coord.transform((nx - half_width * 0.5, map_y(ymax)), &plot_area);
208 let (wr, _) = coord.transform((nx + half_width * 0.5, map_y(ymax)), &plot_area);
209 backend.draw_line(
210 &[(wl, whisker_top), (wr, whisker_top)],
211 &LineStyle {
212 color: self.color,
213 width: 1.0,
214 alpha: 1.0,
215 linetype: Linetype::Solid,
216 ..Default::default()
217 },
218 )?;
219
220 if let Some(oc) = outliers_col {
224 if let Value::Str(s) = &oc[i] {
225 for part in s.split(',') {
226 if let Ok(val) = part.trim().parse::<f64>() {
227 let ny = map_y(val);
228 let (ox, oy) = coord.transform((nx, ny), &plot_area);
229 backend.draw_circle(
230 (ox, oy),
231 2.0,
232 &PointStyle {
233 color: self.color,
234 alpha: 1.0,
235 filled: false,
236 shape: PointShape::Circle,
237 },
238 )?;
239 }
240 }
241 }
242 }
243 }
244 super::clear_mark(backend);
245 super::clear_row_extras(backend);
246
247 Ok(())
248 }
249
250 fn required_aes(&self) -> Vec<Aesthetic> {
251 vec![Aesthetic::X]
256 }
257
258 fn default_stat(&self) -> Box<dyn Stat> {
259 Box::new(StatBoxplot)
260 }
261
262 fn default_position(&self) -> Box<dyn Position> {
263 Box::new(PositionIdentity)
264 }
265
266 fn default_params(&self) -> GeomParams {
267 GeomParams::default()
268 }
269
270 fn name(&self) -> &str {
271 "boxplot"
272 }
273
274 fn apply_element_geom(&mut self, el: &crate::theme::elements::ElementGeom) {
275 if let (true, Some(ink)) = (self.color == (50, 50, 50), el.ink) {
276 self.color = ink;
277 }
278 if let (true, Some(paper)) = (self.fill == (255, 255, 255), el.paper) {
279 self.fill = paper;
280 }
281 }
282
283 fn set_series_color(&mut self, color: (u8, u8, u8)) {
284 self.fill = color;
285 }
286
287 fn mapped_only_columns(&self) -> &'static [&'static str] {
288 &["lower", "middle", "upper", "outliers", "ymin", "ymax"]
301 }
302
303 fn validate_layer(&self, pre_stat_columns: &[String], stat_name: &str) -> Result<(), String> {
304 let has = |c: &str| pre_stat_columns.iter().any(|x| x == c);
305 if stat_name == "identity" {
306 for c in ["lower", "middle", "upper", "ymin", "ymax"] {
311 if !has(c) {
312 return Err(format!(
313 "geom_boxplot requires aesthetic '{c}' under stat=\"identity\" but it was not provided"
314 ));
315 }
316 }
317 } else if !has("y") {
318 return Err("geom_boxplot requires aesthetic 'y' but it was not provided".to_string());
319 }
320 Ok(())
321 }
322
323 fn consumes_tooltips(&self) -> bool {
324 true
325 }
326
327 fn setup_data(&self, data: &mut DataFrame, warnings: &mut Vec<String>) {
333 if !data.has_column("outliers") {
334 return;
335 }
336 let n = data.nrows();
337 let outliers_col = data
338 .column("outliers")
339 .map(|c| c.to_vec())
340 .unwrap_or_default();
341 let ymin_col = data.column("ymin").map(|c| c.to_vec());
342 let ymax_col = data.column("ymax").map(|c| c.to_vec());
343
344 let mut cleaned = Vec::with_capacity(n);
345 let mut ymin_final = Vec::with_capacity(n);
346 let mut ymax_final = Vec::with_capacity(n);
347 let mut had_unparsable = false;
348
349 for i in 0..n {
350 let (vals, cleaned_cell) = match outliers_col.get(i) {
351 Some(Value::Str(s)) => {
352 let (vals, bad) = parse_outliers(s);
353 had_unparsable |= bad;
354 let joined = vals
355 .iter()
356 .map(|v| v.to_string())
357 .collect::<Vec<_>>()
358 .join(", ");
359 (vals, Value::Str(joined))
360 }
361 Some(v) if v.as_f64().is_some_and(f64::is_finite) => {
367 let f = v.as_f64().unwrap();
368 (vec![f], Value::Str(f.to_string()))
369 }
370 Some(other) => (Vec::new(), other.clone()),
371 None => (Vec::new(), Value::Na),
372 };
373 cleaned.push(cleaned_cell);
374
375 let mut lo = ymin_col
376 .as_ref()
377 .and_then(|c| c.get(i))
378 .and_then(|v| v.as_f64());
379 let mut hi = ymax_col
380 .as_ref()
381 .and_then(|c| c.get(i))
382 .and_then(|v| v.as_f64());
383 for v in &vals {
384 lo = Some(lo.map_or(*v, |l| l.min(*v)));
385 hi = Some(hi.map_or(*v, |h| h.max(*v)));
386 }
387 ymin_final.push(lo.map(Value::Float).unwrap_or(Value::Na));
388 ymax_final.push(hi.map(Value::Float).unwrap_or(Value::Na));
389 }
390
391 if had_unparsable {
392 warnings.push(
393 "geom_boxplot: outliers(...) contained an unparsable value; skipped".to_string(),
394 );
395 }
396
397 data.add_column("outliers".to_string(), cleaned);
398 data.add_column(crate::aes::BOXPLOT_YMIN_FINAL.to_string(), ymin_final);
403 data.add_column(crate::aes::BOXPLOT_YMAX_FINAL.to_string(), ymax_final);
404 }
405}